Meta's Llama 3.2 goes small with 1B and 3B models.
tools
1b
3b
5M Pulls Updated 2 months ago
50965da55561 · 2.4GB
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general.architecturellama
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general.basenameLlama-3.2
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general.file_type9
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general.finetuneInstruct
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general.languages[en, de, fr, it, pt, ...]
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general.nameLlama 3.2 3B Instruct
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general.quantization_version2
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general.size_label3B
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general.tags[facebook, meta, pytorch, llama, llama-3, ...]
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general.typemodel
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llama.attention.head_count24
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llama.attention.head_count_kv8
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llama.attention.key_length128
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llama.attention.layer_norm_rms_epsilon1e-05
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llama.attention.value_length128
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llama.block_count28
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llama.context_length131072
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llama.embedding_length3072
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llama.feed_forward_length8192
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llama.rope.dimension_count128
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llama.rope.freq_base500000
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llama.vocab_size128256
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tokenizer.ggml.bos_token_id128000
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tokenizer.ggml.eos_token_id128009
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tokenizer.ggml.merges[Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.prellama-bpe
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tokenizer.ggml.token_type[1, 1, 1, 1, 1, ...]
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tokenizer.ggml.tokens[!, ", #, $, %, ...]
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NameTypeShape
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rope_freqs.weightF32[64]
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output_norm.weightF32[3072]
Metadata
Tensor
blk.0
blk.1
blk.2
blk.3
blk.4
blk.5
blk.6
blk.7
blk.8
blk.9
blk.10
blk.11
blk.12
blk.13
blk.14
blk.15
blk.16
blk.17
blk.18
blk.19
blk.20
blk.21
blk.22
blk.23
blk.24
blk.25
blk.26
blk.27